Electrical engineering of Karabuk university, Turkey
Dr. Elaheh Yaghoubi is a distinguished Electronic and Electrical Engineer with a robust expertise in power system analysis, microgrids, and renewable energy 🌿. Her work encompasses advanced topics such as model predictive controllers (MPC), artificial neural networks 🧠, and deep learning. Dr. Yaghoubi has managed quality control projects for sockets, plugs, wires, and cables in Iran, ensuring top-notch standards 🔌. She has also delved into the realms of plasmonic and nano-electronic devices 🧬, contributing to innovative research and development. Based in Karabuk, Turkey, Dr. Yaghoubi continues to push the boundaries of technology and engineering 🌟.
Education🎓
Dr. Elaheh Yaghoubi boasts an impressive academic background 📚. She has earned her Ph.D. in Electronic and Electrical Engineering, specializing in power systems and renewable energy technologies ⚡. Throughout her educational journey, she has developed a deep understanding of microgrids, smart grids, and model predictive controllers (MPC). Dr. Yaghoubi has also enhanced her expertise through various training programs, including Internet of Things (IoT) and Python programming 🖥️, solidifying her knowledge in cutting-edge technologies and their applications. Her continuous pursuit of learning has equipped her with the skills necessary to excel in both research and practical engineering environments 🧠🎓.
Professional Experience 📚
Dr. Elaheh Yaghoubi has garnered extensive professional experience in the field of electronic and electrical engineering 💼. She has played a pivotal role in the simulation and programming of microgrids and power systems at PEDAR Group, where she worked remotely to ensure high standards of quality and efficiency 🔌. Her expertise extends to quality control, having managed the quality control of sockets, plugs, electronic shields, wires, and cables at Standard Organization in both Tehran and Semnan, Iran 🛠️. Additionally, Dr. Yaghoubi has completed specialized training in ICDL, IoT, Python, Android app development with Kotlin, and PHP, further enhancing her technical capabilities and versatility in the engineering domain 🌐📱.
Research Interest 🔍
Dr. Elaheh Yaghoubi’s research interests span a broad spectrum of cutting-edge technologies and innovative fields 🌟. She delves into power system analysis, power system stability, and power management, focusing on the intricacies of microgrids and smart grids ⚡. Her work in renewable energies highlights her commitment to sustainable development and green technologies 🌱. Dr. Yaghoubi also explores advanced control methods like Model Predictive Controllers (MPC) and leverages the power of artificial neural networks, machine learning, and deep learning to solve complex problems 🤖. Furthermore, her research extends to plasmonic and nano-electronic devices, showcasing her versatility and passion for technological advancements at the microscopic scale 🔬.
Award and Honor🏆
Dr. Elaheh Yaghoubi has received several prestigious awards and honors in recognition of her outstanding contributions to the field of electronic and electrical engineering 🏅. She has been lauded for her innovative research and dedication to advancing technology, earning accolades such as the Best Research Paper Award and the Excellence in Research Award 🥇. Her work in renewable energies and power management has garnered international recognition, highlighting her commitment to sustainable development 🌍. Additionally, Dr. Yaghoubi has been invited to speak at numerous conferences and workshops, where she has shared her insights and expertise with peers and emerging engineers worldwide 🌐.
Research Skills🌟
Dr. Elaheh Yaghoubi is a highly skilled researcher in electronic and electrical engineering, possessing a diverse array of technical proficiencies 🧠. Her expertise encompasses power system analysis, power system stability, and power management ⚡. She is adept in the fields of microgrids, smart grids, and renewable energies, employing advanced methodologies such as model predictive controllers (MPC) and artificial neural networks 🤖. Dr. Yaghoubi’s research extends to plasmonics and nano-electronic devices, where she utilizes machine learning and deep learning techniques to drive innovation 🔬. Her proficiency in simulation and programming enhances her ability to develop and optimize complex power systems, making her a valuable asset in the realm of modern engineering 🌟
Achievements🏅
- 🏆 Awarded the Best Research Paper at the International Conference on Power Systems in 2022.
- 💡 Developed an innovative model predictive controller (MPC) for smart grids, significantly enhancing power management.
- 🌍 Led a groundbreaking study on renewable energies, contributing to sustainable energy solutions.
- 🥇 Recognized for her exceptional work in microgrid simulation and programming.
- 🛠️ Successfully managed quality control projects for sockets, plugs, electronic shields, and cables, ensuring industry standards.
- 📚 Published multiple high-impact research papers in prestigious journals, advancing knowledge in power systems and nano-electronic devices.
- 🤖 Pioneered the integration of artificial neural networks in power system stability analysis, leading to improved system reliability.
- 🔬 Contributed significantly to the field of plasmonics, earning accolades for her research innovations.
- 🌟 Honored with the Outstanding Young Researcher Award by the Iranian Society of Electrical Engineers.
- 🏅 Received multiple grants for her cutting-edge research projects on smart grids and renewable energy technologies.
Projects💻⚡
- 🔋 Power System Stability Analysis: Developed advanced models to analyze and enhance the stability of power systems under various operational conditions.
- ⚡ Microgrid and Smart Grids Simulation: Led the simulation and programming of microgrids, contributing to the development of smart grid technologies.
- 🌞 Renewable Energy Integration: Designed and implemented systems for integrating renewable energy sources into existing power grids, promoting sustainable energy solutions.
- 💻 Model Predictive Controller (MPC) Development: Created innovative MPC algorithms to optimize power management in smart grids, improving efficiency and reliability.
- 🤖 Artificial Neural Network Application: Applied machine learning techniques to predict and mitigate power system instabilities, enhancing overall system performance.
- 🏠 Quality Control of Electronic Shields: Managed quality control processes for home electronic shields, ensuring compliance with industry standards.
- 🔌 Quality Control of Wires and Cables: Oversaw quality assurance projects for electrical wires and cables, maintaining high standards in manufacturing.
- 📡 Internet of Things (IoT) and Python Training: Conducted training sessions on IoT applications and Python programming, fostering technological innovation.
- 📱 Kotlin Android Apps and PHP Development: Developed Android applications using Kotlin and created dynamic web applications with PHP, showcasing versatility in software development.
- 🌐 Plasmonic and Nano-Electronic Devices Research: Led research projects on plasmonic and nano-electronic devices, contributing to advancements in nano-technology and electronics.
- Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide
- Authors: AA Faghani, E Yaghoubi, E Yaghoubi
- Year: 2021
- Citation: Optik 237, 166697 🌐🔬
- The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems
- Authors: M Khaleel, E Yaghoubi, E Yaghoubi, MZ Jahromi
- Year: 2023
- Citation: Int. J. Electr. Eng. and Sustain., 01-31 🔋🤖
- Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide
- Authors: AA Faghani, Z Rafiee, H Amanzadeh, E Yaghoubi, E Yaghoubi
- Year: 2022
- Citation: Optik 257, 168824 🔍📏
- Electric vehicles in China, Europe, and the United States: Current trend and market comparison
- Authors: M Khaleel, Y Nassar, HJ El-Khozondar, M Elmnifi, Z Rajab, E Yaghoubi, …
- Year: 2024
- Citation: Int. J. Electr. Eng. and Sustain., 1-20 🚗🌍
- Reducing the vulnerability in microgrid power systems
- Authors: Z Yusupov, E Yaghoubi, V Soyibjonov
- Year: 2023
- Citation: Science and innovation 2 (A5), 166-175 💡🔐
- A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in the field of geotechnical engineering
- Authors: E Yaghoubi, E Yaghoubi, A Khamees, AH Vakili
- Year: 2024
- Citation: Neural Computing and Applications, 1-45 🧠📊
- Controlling and tracking the maximum active power point in a photovoltaic system connected to the grid using the fuzzy neural controller
- Authors: Z Yusupov, E Yaghoubi, E Yaghoubi
- Year: 2023
- Citation: 2023 14th International Conference on Electrical and Electronics Engineering … ⚡📐
- Modeling and Control of Decentralized Microgrid Based on Renewable Energy and Electric Vehicle Charging Station
- Authors: Z Yusupov, N Almagrahi, E Yaghoubi, E Yaghoubi, A Habbal, D Kodirov
- Year: 2022
- Citation: World Conference Intelligent System for Industrial Automation, 96-102 🌐🔋
- A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
- Authors: E Yaghoubi, E Yaghoubi, A Khamees, D Razmi, T Lu
- Year: 2024
- Citation: Engineering Applications of Artificial Intelligence 135, 108789 🚗🧠